
Highlights
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Starred repositories
Examples and guides for using the OpenAI API
12 Lessons to Get Started Building AI Agents
A game theoretic approach to explain the output of any machine learning model.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
A collection of various deep learning architectures, models, and tips
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Natural Language Processing Tutorial for Deep Learning Researchers
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
This repository contains demos I made with the Transformers library by HuggingFace.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
QLoRA: Efficient Finetuning of Quantized LLMs
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
An open-source, low-code machine learning library in Python
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A series of large language models trained from scratch by developers @01-ai
Inpaint anything using Segment Anything and inpainting models.
An annotated implementation of the Transformer paper.
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…